Glossary
Terms used in accessibility research and practice. Each entry has a definition, common aliases, and category tags.
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- Feature Extraction(also: Feature Engineering, Representation Learning)
- Feature extraction is the process of identifying and isolating measurable properties or characteristics (features) from raw data such as images, audio, or text, for use in machine learning tasks. In image processing, features may include edges, textures, colours, shapes, or…
- Foundation Model(also: Large Pretrained Model, General-Purpose AI Model, GPAI)
- A foundation model is a large AI model trained on broad, general-purpose data — typically at massive scale using self-supervised or unsupervised learning — that can be adapted (fine-tuned) for a wide range of downstream tasks. Examples include CLIP, DinoV2, GPT-4, and BLIP.…
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